Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice

  • Ronald R. Yager
  • Janusz Kacprzyk
  • Gleb Beliakov

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 265)

Table of contents

  1. Front Matter
  2. Methods

    1. Front Matter
      Pages 1-1
    2. Michel Grabisch
      Pages 3-15
    3. Vicenç Torra
      Pages 17-28
    4. Gleb Beliakov, Simon James
      Pages 29-47
    5. Shang-Ming Zhou, Francisco Chiclana, Robert I. John, Jonathan M. Garibaldi
      Pages 91-109
    6. Gabriella Pasi, Ronald R. Yager
      Pages 111-133
    7. José Luis García-Lapresta, Bonifacio Llamazares, Teresa Peña
      Pages 135-147
    8. E. Herrera-Viedma, F. J. Cabrerizo, I. J. Pérez, M. J. Cobo, S. Alonso, F. Herrera
      Pages 167-186
  3. Applications

    1. Front Matter
      Pages 187-187
    2. G. Bordogna, M. Boschetti, A. Brivio, P. Carrara, M. Pagani, D. Stroppiana
      Pages 189-207
    3. H. Bustince, D. Paternain, B. De Baets, T. Calvo, J. Fodor, R. Mesiar et al.
      Pages 229-253
    4. Matteo Brunelli, Mario Fedrizzi, Michele Fedrizzi
      Pages 255-267
    5. Mahdi Zarghami, Ferenc Szidarovszky
      Pages 269-279
  4. Back Matter

About this book

Introduction

This volume presents the state of the art of new developments, and some interesting and relevant applications of the OWA (ordered weighted averaging) operators. The OWA operators were introduced in the early 1980s by Ronald R. Yager as a conceptually and numerically simple, easily implementable, yet extremely powerful general aggregation operator. That simplicity,  generality and implementability of the OWA operators, combined with their intuitive appeal, have triggered much research both in the foundations and extensions of the OWA operators,  and in their applications to a wide variety of problems in various fields of science and technology.

 

Part I: Methods includes papers on theoretical foundations of OWA operators and their extensions.The papers in Part II: Applications show some more relevant applications of the OWA operators, mostly means, as powerful yet general aggregation operators. The application areas are exemplified by environmental modeling, social networks, image analysis, financial decision making and water resource management.

Keywords

Computational Intelligence OWA Ordered Weighted Averaging Operators

Editors and affiliations

  • Ronald R. Yager
    • 1
  • Janusz Kacprzyk
    • 2
  • Gleb Beliakov
    • 3
  1. 1.Machine Intelligence Institute Iona CollegeNew RochelleUSA
  2. 2.Systems Research Institute Polish Academy of SciencesWarsawPoland
  3. 3.School of Information Technology Deakin UniversityBurwoodAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17910-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-17909-9
  • Online ISBN 978-3-642-17910-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book